Senior Android Engineer, AI Integrated Enterprise Applications

• Own architecture and design across feature teams for enterprise grade, high scale Android applications

• Own architecture and design across feature teams for enterprise grade, high scale Android applications
• Build and maintain scalable Gradle architectures and high performance Jetpack Compose UIs
• Integrate LLM APIs and MCP (Model Context Protocol) frameworks directly into production apps, handling token management, context handling, agentic workflows, multi agent orchestration, and AI error recovery
• Diagnose memory leaks and ANR issues, implement Firebase Crash Reporting, and drive performance across distributed services
• Apply Hilt/Dagger dependency injection and MVVM/Clean Architecture to keep the codebase testable as the team scales
• Ship through the full app lifecycle, from early build to Google Play Store release, inside a CI/CD driven workflow

• 5+ years coding Android, building enterprise mobile applications at global scale

• 5+ years coding Android, building enterprise mobile applications at global scale
• 3+ years hands on with Kotlin, current on the latest language updates
• Strong grasp of Android SDK, Jetpack libraries, security modules, and object oriented design patterns
• Solid understanding of multi threading, memory management, and caching on mobile
• Strong problem solving fundamentals, algorithms and data structures
• Working knowledge of MVVM, Clean Architecture, dependency injection, and functional programming
• At least 2 to 3 of the following: Kotlin Coroutines and Flow, DataStore and Room, OkHttp and Protocol Buffers, WorkManager
• Postgraduate degree in Computer Science or related field, or equivalent industry experience

• Hands on experience integrating LLM platforms such as Claude, OpenAI, or MCP tool servers

• Hands on experience integrating LLM platforms such as Claude, OpenAI, or MCP tool servers
• Active GitHub portfolio with multiple Android projects showing real architectural depth
• Open source contributions or technical writing on Android or AI adjacent topics

• Influences multiple teams through technical depth, not authority
• Owns problems without needing to be micromanaged
• Can present architectural tradeoffs to senior and executive stakeholders as easily as debugging an ANR at 2am